Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 901 to 1,000 (from 5,509) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 56  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*01:01:01:01-B*35:02:01-C*08:01:01-DRB1*11:04:01-DQB1*06:01  Russia Bashkortostan, Tatars 0.2604192
 902  A*01:01:01:01-B*44:02:01:01-C*08:02:01-DRB1*04:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 903  A*01:01:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 904  A*01:01:01-B*57:01:01-C*08:02:01-DRB1*07:01:01:01-DQB1*03:03:02:01  Russia Bashkortostan, Tatars 0.2604192
 905  A*02:01:01:01-B*40:06:01-C*08:01:01-DRB1*13:01:01-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 906  A*02:06:01-B*58:01:01-C*08:22-DRB1*03:01:01:02-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 907  A*24:02:01:01-B*14:02:01-C*08:02:01:01-DRB1*07:01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 908  A*24:02:01:01-B*35:01:01-C*08:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 909  A*24:02:01:01-B*40:06:01-C*08:01:01-DRB1*15:02-DQB1*06:01  Russia Bashkortostan, Tatars 0.2604192
 910  A*24:02:01:01-B*48:01:01-C*08:01:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 911  A*24:02:01:01-B*49:01:01-C*08:03:01-DRB1*01:01:01-DQB1*05:04  Russia Bashkortostan, Tatars 0.2604192
 912  A*24:02:01:01-B*57:01:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 913  A*24:08-B*48:01:01-C*08:03:01-DRB1*04:02:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 914  A*33:01:01-B*08:01:01-C*08:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 915  A*33:03:01-B*58:01:01-C*08:22-DRB1*13:02:01-DQB1*06:09:01  Russia Bashkortostan, Tatars 0.2604192
 916  A*68:01:02:02-B*48:01:01-C*08:01:01-DRB1*16:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 917  A*68:02:01:01-B*14:02:01-C*08:02:01:01-DRB1*13:03:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 918  A*02:06-B*48:01-C*08:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*04:02  USA San Diego 0.2600496
 919  A*02:06-B*54:01-C*08:01-DRB1*08:03-DQA1*01:01-DQB1*05:02-DPB1*02:01  USA San Diego 0.2600496
 920  A*03:01-B*15:13-C*08:01-DRB1*15:01-DQA1*01:02-DQB1*03:01-DPB1*03:01  USA San Diego 0.2600496
 921  A*03-B*14-C*08-DRB1*13-DQB1*06-DPB1*05  Norway ethnic Norwegians 0.26004,510
 922  A*11:01-B*14:01-C*08:02-DRB1*07:01-DQA1*01:03-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 923  A*11:01-B*15:01-C*08:02-DRB1*03:01-DQA1*05:01-DQB1*03:01-DPB1*04:02  USA San Diego 0.2600496
 924  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*21:01  USA San Diego 0.2600496
 925  A*11-B*14-C*08  Brazil Parana Japanese 0.2600192
 926  A*24:02-B*14:02-C*08:02  Italy pop 5 0.2600975
 927  A*24:02-B*40:02-C*08:01-DRB1*16:02-DQA1*04:01-DQB1*04:02-DPB1*04:02  USA San Diego 0.2600496
 928  A*24:02-B*57:01-C*08:01-DRB1*12:01-DQA1*03:01-DQB1*03:01-DPB1*05:01  USA San Diego 0.2600496
 929  A*26:01-B*40:06-C*08:01-DRB1*14:02-DQA1*03:01-DQB1*03:03-DPB1*02:01  USA San Diego 0.2600496
 930  A*26-B*14-C*08  Brazil Parana Japanese 0.2600192
 931  A*26-B*35-C*08  Brazil Parana Japanese 0.2600192
 932  A*31-B*54-C*08  Brazil Parana Japanese 0.2600192
 933  A*33:01-B*14:02-C*08:02-DRB1*01:01-DQA1*05:01-DQB1*05:01-DPB1*04:01  USA San Diego 0.2600496
 934  A*33:01-B*14:02-C*08:02-DRB1*11:04-DQA1*01:01-DQB1*03:01-DPB1*04:02  USA San Diego 0.2600496
 935  A*01:01-B*55:02-C*08:01-DRB1*14:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 936  A*02:01-B*15:02-C*08:01-DRB1*03:20-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 937  A*02:01-B*40:06-C*08:01-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 938  A*02:03-B*15:25-C*08:01-DRB1*12:01-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 939  A*02:03-B*40:01-C*08:01-DRB1*08:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 940  A*02:06-B*15:01-C*08:01-DRB1*16:02-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 941  A*02:06-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Chinese 0.2577194
 942  A*02:06-B*15:44-C*08:01-DRB1*04:04-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 943  A*02:06-B*40:04-C*08:01-DRB1*12:02-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 944  A*02:06-B*40:06-C*08:01-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 945  A*11:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Chinese 0.2577194
 946  A*11:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:10  Malaysia Peninsular Chinese 0.2577194
 947  A*11:01-B*40:01-C*08:01-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 948  A*11:01-B*40:06-C*08:01-DRB1*08:03-DQB1*06:01  Malaysia Peninsular Chinese 0.2577194
 949  A*11:01-B*55:02-C*08:01-DRB1*03:19-DQB1*04:02  Malaysia Peninsular Chinese 0.2577194
 950  A*24:02-B*15:02-C*08:01-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 951  A*24:02-B*15:02-C*08:01-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Chinese 0.2577194
 952  A*24:02-B*40:02-C*08:03-DRB1*14:05-DQB1*05:03  Malaysia Peninsular Chinese 0.2577194
 953  A*24:02-B*40:06-C*08:01-DRB1*11:01-DQB1*03:14  Malaysia Peninsular Chinese 0.2577194
 954  A*24:02-B*48:01-C*08:03-DRB1*09:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 955  A*24:02-B*81:01-C*08:01-DRB1*15:01-DQB1*06:10  Malaysia Peninsular Chinese 0.2577194
 956  A*24:07-B*15:13-C*08:01-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 957  A*26:01-B*15:03-C*08:01-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 958  A*33:01-B*48:01-C*08:01-DRB1*04:05-DQB1*04:02  Malaysia Peninsular Chinese 0.2577194
 959  A*33:03-B*58:01-C*08:01-DRB1*11:01-DQB1*03:19  Malaysia Peninsular Chinese 0.2577194
 960  A*68:02-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - Netherlands minority 0.25501,374
 961  A*02-B*14-C*08-DRB1*07-DQA1*02-DQB1*02  Spain, Castilla y Leon, Northwest, 0.25491,743
 962  A*02:03-B*15:02-C*08:01-DRB1*12:02  Hong Kong Chinese BMDR 0.25417,595
 963  A*24:02:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.25321,734
 964  A*24:02-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Filipino 0.252550,614
 965  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.25245,266
 966  B*18:01-C*08:02  Italy pop 5 0.2500975
 967  B*35:01-C*08:02  Italy pop 5 0.2500975
 968  A*68:01-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01  India Northeast UCBB 0.2492296
 969  A*24-B*14-C*08-DRB1*01-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.24901,743
 970  A*68:02-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - France minority 0.24901,406
 971  B*14:03-C*08:02  USA African American pop 4 0.24902,411
 972  A*11:01-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.2485951
 973  A*11:01-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP South Asian Indian 0.2485185,391
 974  A*24:02-B*15:13-C*08:01-DRB1*12:02-DQB1*03:01  USA NMDP Hawaiian or other Pacific Islander 0.245311,499
 975  A*68:02-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - Romania minority 0.24301,234
 976  A*02:01-B*14:02-C*08:02-DRB1*01:02  Germany DKMS - Romania minority 0.24101,234
 977  A*24:02-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Colombia Bogotá Cord Blood 0.23921,463
 978  A*02:03-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Chinese 0.239299,672
 979  A*32:01-B*14:01-C*08:02-DRB1*07:01  Germany DKMS - United Kingdom minority 0.23901,043
 980  A*33:01-B*14:02-C*08:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 981  A*11:01-B*48:01-C*08:01-DRB1*14:08-DQB1*05:03  USA NMDP Hawaiian or other Pacific Islander 0.238811,499
 982  A*24:02-B*15:02-C*08:01-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Malay 0.2388951
 983  A*03:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  USA Hispanic pop 2 0.23601,999
 984  A*34:02-B*14:02-C*08:02-DRB1*01:02  Germany DKMS - Austria minority 0.23601,698
 985  A*33-B*14-C*08-DRB1*03-DQA1*05-DQB1*02  Spain, Castilla y Leon, Northwest, 0.23451,743
 986  A*02:06:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.23435,266
 987  A*32:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.23401,999
 988  A*33:01-B*14:02-C*08:02-DRB1*01:02  Germany DKMS - China minority 0.23401,282
 989  A*68:01-B*48:01-C*08:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.23401,999
 990  A*11:01-B*15:02-C*08:01-DRB1*09:01  Hong Kong Chinese BMDR 0.23337,595
 991  A*24:02-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP South Asian Indian 0.2333185,391
 992  A*02:06:01-B*48:03:01-C*08:01:01-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.23235,266
 993  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:04:01  Spain, Canary Islands, Gran canaria island 0.2300215
 994  A*02:10-B*40:06-C*08:01-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.23003,078
 995  A*11:01:01-B*14:01:01-C*08:02:01-DRB1*04:02:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 996  A*11:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 997  A*23:01:01-B*14:02:01-C*08:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 998  A*24:02-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.23003,078
 999  A*29:02:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 1,000  A*29:02:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).


Displaying 901 to 1,000 (from 5,509) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 56  


   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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